A Layered Approach for Enabling Demand Side Management in Smart Grid

Li, Dan; Sun, Hongjian; Chiu, Wei-Yu

doi:10.1109/iccais.2016.7822435

A Layered Approach for Enabling Demand Side Management in Smart Grid

Li, Dan; Sun, Hongjian; Chiu, Wei-Yu

Authors

Dan Li

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Wei-Yu Chiu

Abstract

Smart grid (SG) represents intelligent technologies used to address the climate change. Demand side management (DSM) is an essential part of the SG. This paper establishes a layered model for the DSM. The model involves three participants: power generators, including renewable energy sources, demand response (DR) aggregator, and consumers. The revenue of the DR aggregator is analyzed. The discomfortable level caused by the DSM is considered for consumers. This model leads to a multiobjective (MO) problem. An MO evolutionary algorithm is used to find the Pareto front, facilitating the selection of a fair solution. Simulation results illustrate the feasibility of the proposed approach.

Citation

Li, D., Sun, H., & Chiu, W. (2017). A Layered Approach for Enabling Demand Side Management in Smart Grid. In 2016 International Conference on Control, Automation and Information Sciences (ICCAIS), 27-29 October 2016, Ansan, Korea (54-59). https://doi.org/10.1109/iccais.2016.7822435

Conference Name	2016 International Conference on Control, Automation and Information Sciences (ICCAIS)
Conference Location	Ansan, Korea
Acceptance Date	Sep 15, 2016
Online Publication Date	Jan 19, 2017
Publication Date	Jan 19, 2017
Deposit Date	Mar 22, 2017
Publicly Available Date	Mar 23, 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	54-59
Book Title	2016 International Conference on Control, Automation and Information Sciences (ICCAIS), 27-29 October 2016, Ansan, Korea.
DOI	https://doi.org/10.1109/iccais.2016.7822435

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